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Forecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach
Authors:Emanuel Moench
Affiliation:Federal Reserve Bank of New York, 33 Liberty Street, New York, NY 10045, United States
Abstract:This paper suggests a term structure model which parsimoniously exploits a broad macroeconomic information set. The model uses the short rate and the common components of a large number of macroeconomic variables as factors. Precisely, the dynamics of the short rate are modeled with a Factor-Augmented Vector Autoregression and the term structure is derived using parameter restrictions implied by no-arbitrage. The model has economic appeal and provides better out-of-sample yield forecasts at intermediate and long horizons than a number of previously suggested approaches. The forecast improvement is highly significant and particularly pronounced for short and medium-term maturities.
Keywords:C13   C32   E43   E44   E52
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